About the Company
United Parcel Service (UPS) is a global leader in logistics, offering a broad range of solutions including the transportation of packages and freight, the facilitation of international trade, and the deployment of advanced technology to manage the world of business. With a history spanning over a century, UPS is committed to innovation, sustainability, and connecting the world. We are seeking talented individuals to join our mission in shaping the future of global commerce.
Job Description
UPS is seeking a detail-oriented and analytical UPS Knowledge Graph Associate with a strong data focus to join our innovative team. This 100% remote position will play a crucial role in developing, maintaining, and enhancing our knowledge graph capabilities, transforming complex data into actionable insights for various business units. The ideal candidate will have a passion for data structures, semantic web technologies, and a proven ability to work with large datasets. You will contribute to projects that improve operational efficiency, customer experience, and strategic decision-making across UPS’s global network.
Key Responsibilities
- Design, develop, and maintain UPS's knowledge graph, ensuring data quality and integrity.
- Extract, transform, and load (ETL) data from various sources into the knowledge graph framework.
- Collaborate with data scientists, engineers, and business stakeholders to understand data requirements and translate them into robust graph models.
- Perform complex data analysis and visualization to identify patterns, relationships, and anomalies within the knowledge graph.
- Develop and implement efficient semantic queries (e.g., SPARQL) to retrieve specific information and generate actionable insights.
- Support the integration of the knowledge graph with other enterprise systems and applications to maximize its utility.
- Contribute to documentation, best practices, and knowledge sharing within the data team.
- Monitor knowledge graph performance and optimize for scalability, efficiency, and real-time processing.
Required Skills
- Proficiency in knowledge graph technologies (e.g., RDF, OWL, SPARQL, Neo4j, GraphDB).
- Strong experience with data modeling, database design, and ETL processes.
- Expertise in a programming language such as Python or Java for data manipulation and automation.
- Solid understanding of relational and NoSQL databases.
- Excellent analytical and problem-solving skills with a data-driven approach.
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
Preferred Qualifications
- Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field.
- Experience in the logistics or supply chain industry.
- Familiarity with machine learning and artificial intelligence concepts applied to graph data.
- Experience with big data technologies (e.g., Hadoop, Spark) for large-scale data processing.
- Project management experience in an Agile development environment.
Perks & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
- Flexible work schedule in a 100% remote environment.
- Employee assistance program and wellness initiatives.
- Tuition reimbursement program for continuous learning.
- Extensive career development and training opportunities.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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